Overview#
This notebook gives a general overview of the features included in the dataset.
Show imports
%load_ext autoreload
%autoreload 2
import os
import dimcat as dc
import pandas as pd
import plotly.express as px
from dimcat import filters, plotting
from IPython.display import display
import utils
RESULTS_PATH = os.path.abspath(os.path.join(utils.OUTPUT_FOLDER, "overview"))
os.makedirs(RESULTS_PATH, exist_ok=True)
def make_output_path(
filename: str,
extension=None,
path=RESULTS_PATH,
) -> str:
return utils.make_output_path(filename=filename, extension=extension, path=path)
def save_figure_as(
fig, filename, formats=("png", "pdf"), directory=RESULTS_PATH, **kwargs
):
if formats is not None:
for fmt in formats:
plotting.write_image(fig, filename, directory, format=fmt, **kwargs)
else:
plotting.write_image(fig, filename, directory, **kwargs)
Loading data
D = utils.get_dataset("c_schumann_lieder", corpus_release="v2.4")
package = D.inputs.get_package()
package_info = package._package.custom
git_tag = package_info.get("git_tag")
utils.print_heading("Data and software versions")
print("Clara Schumann – Lieder version v2.4")
print(f"Datapackage '{package.package_name}' @ {git_tag}")
print(f"dimcat version {dc.__version__}\n")
D
Data and software versions
--------------------------
Clara Schumann – Lieder version v2.4
Datapackage 'c_schumann_lieder' @ v2.4
dimcat version 3.4.0
Dataset
=======
{'inputs': {'basepath': None,
'packages': {'c_schumann_lieder': ["'c_schumann_lieder.measures' (MuseScoreFacetName.MuseScoreMeasures)",
"'c_schumann_lieder.notes' (MuseScoreFacetName.MuseScoreNotes)",
"'c_schumann_lieder.expanded' (MuseScoreFacetName.MuseScoreHarmonies)",
"'c_schumann_lieder.chords' (MuseScoreFacetName.MuseScoreChords)",
"'c_schumann_lieder.metadata' (FeatureName.Metadata)"]}},
'outputs': {'basepath': None, 'packages': {}},
'pipeline': []}
filtered_D = filters.HasHarmonyLabelsFilter(keep_values=[True]).process(D)
all_metadata = filtered_D.get_metadata()
assert len(all_metadata) > 0, "No pieces selected for analysis."
all_metadata
| TimeSig | KeySig | last_mc | last_mn | length_qb | last_mc_unfolded | last_mn_unfolded | length_qb_unfolded | volta_mcs | all_notes_qb | ... | wikidata | musicbrainz | viaf | staff_1_ambitus | staff_1_instrument | staff_2_ambitus | staff_2_instrument | staff_3_ambitus | staff_3_instrument | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| corpus | piece | |||||||||||||||||||||
| c_schumann_lieder | op13no1 Ich stand in dunklen Traumen | {1: '3/4'} | {1: -3} | 37 | 37 | 111.0 | 37 | 37 | 111.0 | () | 552.50 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/6191b47b-f0e0-475... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 62-77 (D4-F5) | Voice | 55-79 (G3-G5) | Piano | 34-65 (Bb1-F4) | Piano |
| op13no2 Sie liebten sich beide | {1: '6/8'} | {1: -2} | 34 | 34 | 102.0 | 34 | 34 | 102.0 | () | 445.00 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/1900782d-8c3d-4bb... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 62-75 (D4-Eb5) | Voice | 55-80 (G3-Ab5) | Piano | 31-65 (G1-F4) | Piano | |
| op13no3 Liebeszauber | {1: '4/4'} | {1: -3} | 55 | 54 | 216.5 | 55 | 54 | 216.5 | () | 1103.17 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/1e4cb31b-6e23-4d9... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 63-79 (Eb4-G5) | Voice | 53-79 (F3-G5) | Piano | 29-63 (F1-Eb4) | Piano | |
| op13no4 Der Mond kommt still gegangen | {1: '6/8'} | {1: -5} | 33 | 33 | 99.0 | 33 | 33 | 99.0 | () | 412.50 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/6916a104-8693-4d3... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 61-77 (Db4-F5) | Voice | 58-78 (Bb3-Gb5) | Piano | 32-65 (Ab1-F4) | Piano | |
| op13no5 Ich hab in deinem Auge | {1: '3/4'} | {1: -4} | 34 | 33 | 100.5 | 34 | 33 | 100.5 | () | 489.00 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/74125f0c-d415-496... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 63-77 (Eb4-F5) | Voice | 55-87 (G3-Eb6) | Piano | 27-72 (Eb1-C5) | Piano | |
| op13no6 Die stille Lotosblume | {1: '3/4'} | {1: -4} | 47 | 47 | 141.0 | 47 | 47 | 141.0 | () | 708.83 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/8ac06705-0692-49d... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 63-77 (Eb4-F5) | Voice | 53-80 (F3-Ab5) | Piano | 27-68 (Eb1-Ab4) | Piano | |
| op23no1 Was weinst du Blumlein | {1: '2/4'} | {1: 3} | 69 | 68 | 136.5 | 69 | 68 | 136.5 | () | 498.25 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/89c905db-3e4d-4ae... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 61-81 (C#4-A5) | Voice | 52-81 (E3-A5) | Piano | 33-66 (A1-F#4) | Piano | |
| op23no2 An einem lichten Morgen | {1: '4/4'} | {1: -1} | 39 | 38 | 156.0 | 72 | 72 | 288.0 | (35], [36) | 319.70 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/f2ea76f6-e65c-4ad... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 65-81 (F4-A5) | Voice | 58-89 (Bb3-F6) | Piano | 34-89 (Bb1-F6) | Piano | |
| op23no3 Geheimes Flustern hier und dort | {1: '3/8'} | {1: -5} | 56 | 50 | 84.0 | 94 | 94 | 141.0 | () | 234.25 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/05e86d18-cf58-4f8... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 65-78 (F4-Gb5) | Voice | 44-78 (Ab2-Gb5) | Piano | 33-68 (A1-Ab4) | Piano | |
| op23no4 Auf einem grunen Hugel | {1: '2/4'} | {1: 0} | 32 | 30 | 62.5 | 45 | 44 | 88.5 | (17], [18) | 248.25 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/79bbbe7d-4f93-445... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 68-79 (G#4-G5) | Voice | 57-77 (A3-F5) | Piano | 45-64 (A2-E4) | Piano | |
| op23no5 Das ist ein Tag der klingen mag | {1: '6/8'} | {1: 2} | 46 | 45 | 135.5 | 46 | 45 | 135.5 | () | 512.00 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/edc5298a-7e55-4e5... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 64-81 (E4-A5) | Voice | 54-81 (F#3-A5) | Piano | 32-81 (G#1-A5) | Piano | |
| op23no6 O Lust o Lust | {1: '6/8'} | {1: -3} | 40 | 40 | 120.0 | 76 | 76 | 228.0 | () | 416.75 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/17971c9f-d201-456... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 65-79 (F4-G5) | Voice | 53-82 (F3-Bb5) | Piano | 29-72 (F1-C5) | Piano |
12 rows × 60 columns
mean_composition_years = utils.corpus_mean_composition_years(all_metadata)
chronological_order = mean_composition_years.index.to_list()
corpus_colors = dict(zip(chronological_order, utils.CORPUS_COLOR_SCALE))
corpus_names = {
corp: utils.get_corpus_display_name(corp) for corp in chronological_order
}
chronological_corpus_names = list(corpus_names.values())
corpus_name_colors = {
corpus_names[corp]: color for corp, color in corpus_colors.items()
}
mean_composition_years
corpus
c_schumann_lieder 1847.75
Name: mean_composition_year, dtype: float64
Composition dates#
This section relies on the dataset’s metadata.
valid_composed_start = pd.to_numeric(all_metadata.composed_start, errors="coerce")
valid_composed_end = pd.to_numeric(all_metadata.composed_end, errors="coerce")
print(
f"Composition dates range from {int(valid_composed_start.min())} {valid_composed_start.idxmin()} "
f"to {int(valid_composed_end.max())} {valid_composed_end.idxmax()}."
)
Composition dates range from 1842 ('c_schumann_lieder', 'op13no3 Liebeszauber') to 1853 ('c_schumann_lieder', 'op23no1 Was weinst du Blumlein').
Mean composition years per corpus#
def make_summary(metadata_df):
piece_is_annotated = metadata_df.label_count > 0
return metadata_df[piece_is_annotated].copy()
Show source
summary = make_summary(all_metadata)
bar_data = pd.concat(
[
mean_composition_years.rename("year"),
summary.groupby(level="corpus").size().rename("pieces"),
],
axis=1,
).reset_index()
N = len(summary)
fig = px.bar(
bar_data,
x="year",
y="pieces",
color="corpus",
color_discrete_map=corpus_colors,
title=f"Temporal coverage of the {N} annotated pieces in the Distant Listening Corpus",
)
fig.update_traces(width=5)
fig.update_layout(**utils.STD_LAYOUT)
fig.update_traces(width=5)
save_figure_as(fig, "pieces_timeline_bars")
fig.show()
summary
| TimeSig | KeySig | last_mc | last_mn | length_qb | last_mc_unfolded | last_mn_unfolded | length_qb_unfolded | volta_mcs | all_notes_qb | ... | wikidata | musicbrainz | viaf | staff_1_ambitus | staff_1_instrument | staff_2_ambitus | staff_2_instrument | staff_3_ambitus | staff_3_instrument | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| corpus | piece | |||||||||||||||||||||
| c_schumann_lieder | op13no1 Ich stand in dunklen Traumen | {1: '3/4'} | {1: -3} | 37 | 37 | 111.0 | 37 | 37 | 111.0 | () | 552.50 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/6191b47b-f0e0-475... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 62-77 (D4-F5) | Voice | 55-79 (G3-G5) | Piano | 34-65 (Bb1-F4) | Piano |
| op13no2 Sie liebten sich beide | {1: '6/8'} | {1: -2} | 34 | 34 | 102.0 | 34 | 34 | 102.0 | () | 445.00 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/1900782d-8c3d-4bb... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 62-75 (D4-Eb5) | Voice | 55-80 (G3-Ab5) | Piano | 31-65 (G1-F4) | Piano | |
| op13no3 Liebeszauber | {1: '4/4'} | {1: -3} | 55 | 54 | 216.5 | 55 | 54 | 216.5 | () | 1103.17 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/1e4cb31b-6e23-4d9... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 63-79 (Eb4-G5) | Voice | 53-79 (F3-G5) | Piano | 29-63 (F1-Eb4) | Piano | |
| op13no4 Der Mond kommt still gegangen | {1: '6/8'} | {1: -5} | 33 | 33 | 99.0 | 33 | 33 | 99.0 | () | 412.50 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/6916a104-8693-4d3... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 61-77 (Db4-F5) | Voice | 58-78 (Bb3-Gb5) | Piano | 32-65 (Ab1-F4) | Piano | |
| op13no5 Ich hab in deinem Auge | {1: '3/4'} | {1: -4} | 34 | 33 | 100.5 | 34 | 33 | 100.5 | () | 489.00 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/74125f0c-d415-496... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 63-77 (Eb4-F5) | Voice | 55-87 (G3-Eb6) | Piano | 27-72 (Eb1-C5) | Piano | |
| op13no6 Die stille Lotosblume | {1: '3/4'} | {1: -4} | 47 | 47 | 141.0 | 47 | 47 | 141.0 | () | 708.83 | ... | https://www.wikidata.org/wiki/Q93451955 | https://musicbrainz.org/work/8ac06705-0692-49d... | https://viaf.org/viaf/175203352/ | https://imslp.org/wiki/Special:ReverseLookup/3... | 63-77 (Eb4-F5) | Voice | 53-80 (F3-Ab5) | Piano | 27-68 (Eb1-Ab4) | Piano | |
| op23no1 Was weinst du Blumlein | {1: '2/4'} | {1: 3} | 69 | 68 | 136.5 | 69 | 68 | 136.5 | () | 498.25 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/89c905db-3e4d-4ae... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 61-81 (C#4-A5) | Voice | 52-81 (E3-A5) | Piano | 33-66 (A1-F#4) | Piano | |
| op23no2 An einem lichten Morgen | {1: '4/4'} | {1: -1} | 39 | 38 | 156.0 | 72 | 72 | 288.0 | (35], [36) | 319.70 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/f2ea76f6-e65c-4ad... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 65-81 (F4-A5) | Voice | 58-89 (Bb3-F6) | Piano | 34-89 (Bb1-F6) | Piano | |
| op23no3 Geheimes Flustern hier und dort | {1: '3/8'} | {1: -5} | 56 | 50 | 84.0 | 94 | 94 | 141.0 | () | 234.25 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/05e86d18-cf58-4f8... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 65-78 (F4-Gb5) | Voice | 44-78 (Ab2-Gb5) | Piano | 33-68 (A1-Ab4) | Piano | |
| op23no4 Auf einem grunen Hugel | {1: '2/4'} | {1: 0} | 32 | 30 | 62.5 | 45 | 44 | 88.5 | (17], [18) | 248.25 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/79bbbe7d-4f93-445... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 68-79 (G#4-G5) | Voice | 57-77 (A3-F5) | Piano | 45-64 (A2-E4) | Piano | |
| op23no5 Das ist ein Tag der klingen mag | {1: '6/8'} | {1: 2} | 46 | 45 | 135.5 | 46 | 45 | 135.5 | () | 512.00 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/edc5298a-7e55-4e5... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 64-81 (E4-A5) | Voice | 54-81 (F#3-A5) | Piano | 32-81 (G#1-A5) | Piano | |
| op23no6 O Lust o Lust | {1: '6/8'} | {1: -3} | 40 | 40 | 120.0 | 76 | 76 | 228.0 | () | 416.75 | ... | https://www.wikidata.org/wiki/Q97192858 | https://musicbrainz.org/work/17971c9f-d201-456... | https://viaf.org/viaf/317275603/ | https://imslp.org/wiki/Special:ReverseLookup/4... | 65-79 (F4-G5) | Voice | 53-82 (F3-Bb5) | Piano | 29-72 (F1-C5) | Piano |
12 rows × 60 columns
Composition years histogram#
Show source
hist_data = summary.reset_index()
hist_data.corpus = hist_data.corpus.map(corpus_names)
fig = px.histogram(
hist_data,
x="composed_end",
color="corpus",
labels=dict(
composed_end="decade",
count="pieces",
),
color_discrete_map=corpus_name_colors,
title=f"Temporal coverage of the {N} annotated pieces in the Distant Listening Corpus",
)
fig.update_traces(xbins=dict(size=10))
fig.update_layout(**utils.STD_LAYOUT)
fig.update_legends(font=dict(size=16))
save_figure_as(fig, "pieces_timeline_histogram", height=1250)
fig.show()
Dimensions#
Overview#
def make_overview_table(groupby, group_name="pieces"):
n_groups = groupby.size().rename(group_name)
absolute_numbers = dict(
measures=groupby.last_mn.sum(),
length=groupby.length_qb.sum(),
notes=groupby.n_onsets.sum(),
labels=groupby.label_count.sum(),
)
absolute = pd.DataFrame.from_dict(absolute_numbers)
absolute = pd.concat([n_groups, absolute], axis=1)
sum_row = pd.DataFrame(absolute.sum(), columns=["sum"]).T
absolute = pd.concat([absolute, sum_row])
return absolute
absolute = make_overview_table(summary.groupby("workTitle"))
# print(absolute.astype(int).to_markdown())
absolute.astype(int)
| pieces | measures | length | notes | labels | |
|---|---|---|---|---|---|
| 6 Lieder aus Jucunde, Op. 23 | 6 | 271 | 694 | 3745 | 613 |
| 6 Lieder mit Begleitung des Pianoforte, op.13 | 6 | 238 | 770 | 6503 | 713 |
| sum | 12 | 509 | 1464 | 10248 | 1326 |
def summarize_dataset(D):
all_metadata = D.get_metadata()
summary = make_summary(all_metadata)
return make_overview_table(summary.groupby(level=0))
corpus_summary = summarize_dataset(D)
print(corpus_summary.astype(int).to_markdown())
| | pieces | measures | length | notes | labels |
|:------------------|---------:|-----------:|---------:|--------:|---------:|
| c_schumann_lieder | 12 | 509 | 1464 | 10248 | 1326 |
| sum | 12 | 509 | 1464 | 10248 | 1326 |
Measures#
all_measures = D.get_feature("measures")
print(
f"{len(all_measures.index)} measures over {len(all_measures.groupby(level=[0,1]))} files."
)
all_measures.head()
520 measures over 12 files.
| mc | mn | quarterbeats | duration_qb | keysig | timesig | act_dur | mc_offset | numbering_offset | dont_count | barline | breaks | repeats | next | volta | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| corpus | piece | i | |||||||||||||||
| c_schumann_lieder | op13no1 Ich stand in dunklen Traumen | 0 | 1 | 1 | 0 | 3.0 | -3 | 3/4 | 3/4 | 0 | <NA> | <NA> | <NA> | <NA> | firstMeasure | (2,) | <NA> |
| 1 | 2 | 2 | 3 | 3.0 | -3 | 3/4 | 3/4 | 0 | <NA> | <NA> | <NA> | <NA> | <NA> | (3,) | <NA> | ||
| 2 | 3 | 3 | 6 | 3.0 | -3 | 3/4 | 3/4 | 0 | <NA> | <NA> | <NA> | <NA> | <NA> | (4,) | <NA> | ||
| 3 | 4 | 4 | 9 | 3.0 | -3 | 3/4 | 3/4 | 0 | <NA> | <NA> | <NA> | line | <NA> | (5,) | <NA> | ||
| 4 | 5 | 5 | 12 | 3.0 | -3 | 3/4 | 3/4 | 0 | <NA> | <NA> | <NA> | <NA> | <NA> | (6,) | <NA> |
all_measures.get_default_analysis().plot_grouped()
Harmony labels#
All symbols, independent of the local key (the mode of which changes their semantics).
try:
all_annotations = D.get_feature("harmonylabels").df
except Exception:
all_annotations = pd.DataFrame()
n_annotations = len(all_annotations.index)
includes_annotations = n_annotations > 0
if includes_annotations:
display(all_annotations.head())
print(f"Concatenated annotation tables contains {all_annotations.shape[0]} rows.")
no_chord = all_annotations.root.isna()
if no_chord.sum() > 0:
print(
f"{no_chord.sum()} of them are not chords. Their values are:"
f" {all_annotations.label[no_chord].value_counts(dropna=False).to_dict()}"
)
all_chords = all_annotations[~no_chord].copy()
print(
f"Dataset contains {all_chords.shape[0]} tokens and {len(all_chords.chord.unique())} types over "
f"{len(all_chords.groupby(level=[0,1]))} documents."
)
all_annotations["corpus_name"] = all_annotations.index.get_level_values(0).map(
utils.get_corpus_display_name
)
all_chords["corpus_name"] = all_chords.index.get_level_values(0).map(
utils.get_corpus_display_name
)
else:
print("Dataset contains no annotations.")
| mc | mn | quarterbeats | duration_qb | mc_onset | mn_onset | timesig | staff | voice | volta | ... | numeral_or_applied_to_numeral | intervals_over_bass | intervals_over_root | scale_degrees | scale_degrees_and_mode | scale_degrees_major | scale_degrees_minor | globalkey | localkey | chord | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| corpus | piece | i | |||||||||||||||||||||
| c_schumann_lieder | op13no1 Ich stand in dunklen Traumen | 0 | 1 | 1 | 0 | 2.0 | 0 | 0 | 3/4 | 3 | 1 | <NA> | ... | I | (M3, P5) | (M3, P5) | (1, 3, 5) | (1, 3, 5), major | (1, 3, 5) | (1, #3, 5) | Eb | I | I |
| 1 | 1 | 1 | 2 | 0.5 | 1/2 | 1/2 | 3/4 | 3 | 1 | <NA> | ... | ii | (M2, P4, m6) | (m3, d5, m7) | (1, 2, 4, b6) | (1, 2, 4, b6), major | (1, 2, 4, b6) | (1, 2, 4, 6) | Eb | I | ii%2 | ||
| 2 | 1 | 1 | 5/2 | 0.5 | 5/8 | 5/8 | 3/4 | 3 | 1 | <NA> | ... | V | (m3, a4, M6) | (m3, d5, d7) | (1, b3, #4, 6) | (1, b3, #4, 6), major | (1, b3, #4, 6) | (1, 3, #4, #6) | Eb | I | viio43/V | ||
| 3 | 2 | 2 | 3 | 1.0 | 0 | 0 | 3/4 | 3 | 1 | <NA> | ... | V | (m3, m7) | (M3, P5, M2) | (7, 2, 6) | (7, 2, 6), major | (7, 2, 6) | (#7, 2, #6) | Eb | I | V6(2) | ||
| 4 | 2 | 2 | 4 | 2.0 | 1/4 | 1/4 | 3/4 | 3 | 1 | <NA> | ... | V | (m3, m6) | (M3, P5) | (7, 2, 5) | (7, 2, 5), major | (7, 2, 5) | (#7, 2, 5) | Eb | I | V6 |
5 rows × 52 columns
Concatenated annotation tables contains 1308 rows.
Dataset contains 1308 tokens and 247 types over 12 documents.